메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
최성연 (동국대학교)
저널정보
한국교원대학교 뇌기반교육연구소 Brain, Digital, & Learning Brain, Digital, & Learning Vol.10 No.3
발행연도
2020.1
수록면
321 - 332 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to develop a framework and a scale to measure perceived digital competency based on learning outcomes at the level of college engineering students. A survey was conducted on 293 engineering students and evidence of the validity and reliability of the scale is presented. As a result, it finds that digital competency can be measured and conceptualized as four domains: Digital literacy, Information and data literacy, Digital contents creation, and Cyber-ethics. It also reveals that freshmen show the lower level of digital competency as compared with other graders, especially in computational thinking, skills about data and information, coding skills, and digital contents creation. On the other hand, female students have strong professional accountabilities in data and a better understanding of digital citizenship. It implies that engineering education necessarily emphasizes the importance of proving digital training to freshmen year curricula and gives opportunities so they can continuously adapt to the changes that occurred by technologies. It is also important to consider teaching a problem skill in data analyzing, transform, visualization, and evaluation, also establish their computational thinking. The scale has been developed can be used to measure college students' learning outcomes and it will provide practical implementations for college engineering education.

목차

등록된 정보가 없습니다.

참고문헌 (40)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0